code: def _init(
      __labels,
      __label_counts,
      __prune_count_matrix,
      __pcm_shape,
      __pred_probs,
      __pred_probs_shape,
      __multi_label,
      __min_examples_per_class,
  ):  # pragma: no cover
      """Shares memory objects across child processes.
      ASSUMES none of these will be changed by child processes!"""
  
      mp_params["labels"] = __labels
      mp_params["label_counts"] = __label_counts
      mp_params["prune_count_matrix"] = __prune_count_matrix
      mp_params["pcm_shape"] = __pcm_shape
      mp_params["pred_probs"] = __pred_probs
      mp_params["pred_probs_shape"] = __pred_probs_shape
      mp_params["multi_label"] = __multi_label
      mp_params["min_examples_per_class"] = __min_examples_per_class
  
imports: import numpy
  from sklearn.metrics import confusion_matrix
  import multiprocessing
  import sys
  import warnings
  from typing import Any, Dict, Optional, Tuple, List
  from functools import reduce
  import platform
  from cleanlab.count import calibrate_confident_joint, num_label_issues, _reduce_issues
  from cleanlab.rank import order_label_issues, get_label_quality_scores
  import cleanlab.internal.multilabel_scorer
  from cleanlab.internal.validation import assert_valid_inputs
  from cleanlab.internal.util import value_counts_fill_missing_classes, round_preserving_row_totals, get_num_classes
  from cleanlab.internal.multilabel_utils import stack_complement, get_onehot_num_classes, int2onehot
  from cleanlab.typing import LabelLike
  from cleanlab.multilabel_classification.filter import find_multilabel_issues_per_class
label_desc: Use image node_id 9 for calling a global function with example usage: _init(__labels, __label_counts, __prune_count_matrix, __pcm_shape, __pred_probs, __pred_probs_shape, __multi_label, __min_examples_per_class) without return types